内燃机车燃烧系统性能评估与预测

Performance Evaluation and Forecast of Combustion System of Diesel Locomotive

提出一种内燃机车燃烧系统综合性能评估和预测的新方法;燃烧系统的工作性能由柴油机功率、燃油消耗率、燃油压力、增压压力和排气温度等热工参数决定,介绍了有关参数的测量与计算,利用模糊理论对燃烧系统进行性能评估,利用灰色神经网络对燃烧系统的性能进行预测;该成果应用于株洲电力机车研究所研制的内燃机车状态监测与诊断系统,实际评估和预测结果验证了采用模糊理论进行性能评估和利用神经网络进行预测的可行性与有效性,与机车的其它诊断方法比较,能更全面地评估和预测燃烧系统的状态,为内燃机车检修提供了可靠依据。

A new method for performance evaluation and forecast of a diesel locomotive combustion system has been proposed. The condition of combustion system are in relation to the diesel power, fuel consumption, fuel pressure, turbocharging pressure and temperature of outlet. The measuring and calculation of the parameters are introduced. The performance evaluation of combustion system is obtained by using fuzzy theory. The performance forecast is obtained by using gray neural network. The achievement is applied to the system of data acquisition and fault diagnosis in diesel locomotive. It is proved by examples that the method is viable and effective. Compared with other diagnosis methods of locomotive, the method can evaluate and predict the conditon of combustion system comprehensively. The method provide the reliable basis for the maintenance of diesel locomotive.